Real-Time Artificial Intelligence (AI)

Key Motivations, Technologies, Platforms, and Use Cases
Herausgeber: Rao, B. Narendra Kumar; Kavitha, V.; Raj, Pethuru; Vijaykumar, Hannah; Sundaravadivazhagan, B.

• Gebundenes Buch

Produktbeschreibung

This new volume discusses how real-time artificial intelligence services and applications are indispensable for setting up and sustaining real-time enterprises, using historical as well as runtime data to extract actionable insights in the needed time, leading to real-time insights. It explains the trends and transitions happening in the AI space and how those innovations are being smartly leveraged for bringing in real transformation in the cybersecurity space. This volume has collected and incorporated information that directly and indirectly supplements the ideals of real-world and real-time AI. Chapters showcase the applications of real-time artificial intelligence in diverse sectors with a variety of case studies. They provide an overview of machine learning and deep learning algorithms for modern science and technology and then delve into using deep learning for plant disease detection, using AI for IT entrepreneurship, in healthcare for breast cancer prediction and eclampsia screening and monitoring, for fraud detection in online transactions, for traffic sign detection and classification in autonomous vehicle, and more. The book explores the future of AI-powered applications in chatbots, evaluates the role of AI in digital transformation, and more. Demonstrating the benefits of real-time capturing of data using AI, this volume will provide insight and inspiration for security architects and consultants in the IT industry, research students and scholars, academic professors, business executives, and many others.

Produktdetails

• Verlag: Apple Academic Press Inc.
• Seitenzahl: 431
• Erscheinungstermin: 5. März 2026
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781998511341
• ISBN-10: 1998511340
• Artikelnr.: 75975361

Autorenporträt

Pethuru Raj, PhD, is Chief Architect and Vice President at Reliance Jio Platforms Ltd. (JPL), Bangalore, India. Previously, he worked as a cloud architect at the IBM Global Cloud Center of Excellence (CoE), as an enterprise architect in Wipro Consulting Services (WCS), and as a software architect in Robert Bosch Corporate Research. In total, he has gained more than 24 years of IT industry experience and eight years of research experience. He finished his CSIR-sponsored PhD degree at Anna University, Chennai, and continued with his UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science, Bangalore. He was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for several years at two leading Japanese universities. B. Sundaravadivazhagan, PhD, is a distinguished researcher and educator in information and communication engineering with over 23 years of academic and research experience. He earned his PhD from Anna University, Chennai, India, in 2016. A senior member of IEEE, he is also affiliated with ISACA, ISTE, and ACM. He has published more than 85 research papers in SCI- and Scopus-indexed journals and has contributed to multiple international conferences. His expertise spans AI, deep learning, IoT, cybersecurity, and wireless networks. He has received research grants from Oman's TRC and serves on academic committees, including at Amrita University and Saveetha School of Engineering, India. V. Kavitha, PhD, is currently working as an Associate Professor in the Department of Computer Science with Cognitive Systems, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamil Nadu, India. She has over 20 years of teaching and research experience. She has been supervising research scholars and postgraduate and undergraduate students in the areas of cybersecurity. She has published more than 75 research papers in international as well as national journals, international conferences, and book chapters. She has delivered technical talks in the areas of big data analysis and cybersecurity. Cybersecurity, IoT security, artificial intelligence, machine learning, and deep learning are some of her research interests. She was awarded her PhD in the broad area of Data Mining. B. Narendra Kumar Rao, PhD, is currently working as Professor and Program Head of the Department of AI & ML in the School of Computing, Mohan Babu University, Tirupati, India, where he is also a member of the Research Advisory Committee and also Doctoral Supervisor Cluster Head in the School of Computing. His research interests include software testing, embedded systems, and machine learning. He has been part of three international conferences as convener and conference chair. He has also published articles in reputed journals and conferences. He has been an editor for two proceedings published by Springer in the year 2018 and 2022. He has also been associated with IEEE, ACM, CSTA and IAENG. He has won several awards for his work including Best Faculty Recognition, Nava Bharat Nirman Award by the Information Technology Association of AP & India Servers, October, 2019, and Best Researcher Award by the Integrated Research Group (IRG), Chennai, for research work (January, 2018). Apart from this, he was awarded Trial Blazer-Highest Domain Level Award from Embedded Systems President, STAR-Highest Business Unit Level Award from Vice-President, and FIMC- Highest Project Level Award from Sr Project Manager at Wipro Technologies. He received his PhD in CSE from Jawarharlal Nehru Technological University, Hyderabad, India. Hannah Vijaykumar, PhD, is working as Associate Professor and Head of the Department of Computer Science at Anna Adarsh College for Women, Chennai, India, where she also serves as Dean of Computational Studies. She has 26 years of teaching experience. Her research domain is software engineering, and her areas of research interest include software metrics and their constraints, agile software development, and cloud computing architecture. She has published five papers in Scopus-indexed journals and four papers in international conferences. She has also published five book chapters and authored three books. She also has two international patents to her credit. She earned her MCA and MPhil from Bharathidasan University and completed her PhD in 2018 from the University of Madras, India.

Inhaltsangabe

1. Machine Learning and Deep Learning Algorithms for Modern Science and
Technology: Applications and Challenges 2. Exploring Incremental and Deep
Learning Approaches for Plant Disease Detection: A Comprehensive Review 3.
Machine, Deep, and Reinforcement Learning Algorithms and Applications 4.
AIOps-Powered Entrepreneurship: Harnessing AI for Operational Excellence
and Rapid Growth 5. Leveraging Incremental Learning for Agile
Entrepreneurship: A Practical Guide to Continuous Learning and Adaptation
in Dynamic Markets 6. Development of Artificial Intelligence-Based Breast
Cancer (BC) Prediction in Healthcare Systems 7. An Energy-Efficient
Approach-Based Prediction in Sensor Cloud System by Using Machine Learning
Methods 8. Using Online Predictions and Machine Learning for Fraud
Detection in Online Transactions 9. Incremental Learning in Real-Time
Artificial Intelligence 10. Exploring of AI-Powered Applications in
Chatbots for Future Development 11. Ax-YOLOv8-Based Indian Traffic Sign
Detection and Classification in Autonomous Vehicle 12. Empowering Womens
Health: Artificial Intelligence Applications in Pre-Eclampsia Screening and
Monitoring 13. Incremental Learning 14. Understanding the Role of
Artificial Intelligence in the Industry 4.0 Ecosystem: A Digital
Transformation: Case Studies 15. Artificial Intelligence for the Digital
Era: Unleashing the Power of Intelligent Technologies 16. An Enhanced
Hidden Markov Model for Predicting Two-Tier Webpage and Improving Accuracy
17. Operationalizing Machine Learning: The Path to MLOps Excellence